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| name | description |
|---|---|
| dgx-spark-nccl | Install and test NCCL on two Sparks — on NVIDIA DGX Spark. Use when setting up nccl on Spark hardware. |
NCCL for Two Sparks
Install and test NCCL on two Sparks
NCCL (NVIDIA Collective Communication Library) enables high-performance GPU-to-GPU communication across multiple nodes. This walkthrough sets up NCCL for multi-node distributed training on DGX Spark systems with Blackwell architecture. You'll configure networking, build NCCL from source with Blackwell support, and validate communication between nodes.
Outcome: You'll have a working multi-node NCCL environment that enables high-bandwidth GPU communication across DGX Spark systems for distributed training workloads, with validated network performance and proper GPU topology detection.
Duration: 30 minutes for setup and validation · Risk: Medium - involves network configuration changes
Full playbook: /home/runner/work/dgx-spark-playbooks/dgx-spark-playbooks/nvidia/nccl/README.md